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[HTML][HTML] The role of deep learning in urban water management: A critical review
Deep learning techniques and algorithms are emerging as a disruptive technology with the
potential to transform global economies, environments and societies. They have been …
potential to transform global economies, environments and societies. They have been …
Surface defect detection of civil structures using images: Review from data perspective
As civil structures age and deteriorate, it becomes crucial to conduct structural health
monitoring (SHM) to ensure safety and timely maintenance. Surface defect detection plays a …
monitoring (SHM) to ensure safety and timely maintenance. Surface defect detection plays a …
Intelligent monitoring of spatially-distributed cracks using distributed fiber optic sensors assisted by deep learning
Distributed fiber optic sensors (DFOSs) offer unique capabilities for crack monitoring via
measuring strain distributions. However, manually interpreting strain distributions is labor …
measuring strain distributions. However, manually interpreting strain distributions is labor …
Review on automated condition assessment of pipelines with machine learning
Pipelines carrying energy products play vital roles in economic wealth and public safety, but
incidents continue occurring. Condition assessment of pipelines is essential to identify …
incidents continue occurring. Condition assessment of pipelines is essential to identify …
Automated detection of railway defective fasteners based on YOLOv8-FAM and synthetic data using style transfer
Fastener damage detection is an integral component of track safety inspections. The lack of
balanced dataset caused by insufficient data on defective fasteners poses a significant …
balanced dataset caused by insufficient data on defective fasteners poses a significant …
Transformer‐optimized generation, detection, and tracking network for images with drainage pipeline defects
D Ma, H Fang, N Wang, H Lu… - Computer‐Aided Civil …, 2023 - Wiley Online Library
Regular detection of defects in drainage pipelines is crucial. However, some problems
associated with pipeline defect detection, such as data scarcity and defect counting difficulty …
associated with pipeline defect detection, such as data scarcity and defect counting difficulty …
[HTML][HTML] Construction and maintenance of urban underground infrastructure with digital technologies
Urban underground infrastructure is a critical component in cities to provide essential
services to residents. Research efforts have been made to facilitate different activities of …
services to residents. Research efforts have been made to facilitate different activities of …
DefectTR: End-to-end defect detection for sewage networks using a transformer
The sanitary sewer is a crucial underground infrastructure of any country that collects
wastewater and carries it to the treatment plant. The damage triggered by various factors …
wastewater and carries it to the treatment plant. The damage triggered by various factors …
[HTML][HTML] Application of artificial intelligence in marine corrosion prediction and detection
One of the biggest problems the maritime industry is currently experiencing is corrosion,
resulting in short and long-term damages. Early prediction and proper corrosion monitoring …
resulting in short and long-term damages. Early prediction and proper corrosion monitoring …
An integrated first principal and deep learning approach for modeling nitrous oxide emissions from wastewater treatment plants
Mathematical modeling plays a critical role toward the mitigation of nitrous oxide (N2O)
emissions from wastewater treatment plants (WWTPs). In this work, we proposed a novel …
emissions from wastewater treatment plants (WWTPs). In this work, we proposed a novel …